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2020 – today
- 2025
[j49]Zengfa Dou, Nian Peng, Weiming Hou, Xianghua Xie
, Xiaoke Ma:
Learning multi-level topology representation for multi-view clustering with deep non-negative matrix factorization. Neural Networks 182: 106856 (2025)- 2024
- [j48]Zhaoyuan Cai, Xianghua Xie, Jingjing Deng, Zengfa Dou, Bo Tong, Xiaoke Ma:
Image restoration with group sparse representation and low-rank group residual learning. IET Image Process. 18(3): 741-760 (2024) - [j47]Avishek Siris, Jianbo Jiao, Gary K. L. Tam, Xianghua Xie, Rynson W. H. Lau:
Inferring Attention Shifts for Salient Instance Ranking. Int. J. Comput. Vis. 132(3): 964-986 (2024) - [j46]Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Yichuan Wang:
FedBoosting: Federated learning with gradient protected boosting for text recognition. Neurocomputing 569: 127126 (2024) - [j45]Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng:
A survey on vulnerability of federated learning: A learning algorithm perspective. Neurocomputing 573: 127225 (2024) - [j44]Deyin Liu, Lin Yuanbo Wu, Bo Li, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie, Chengwu Liang:
Jacobian norm with Selective Input Gradient Regularization for interpretable adversarial defense. Pattern Recognit. 145: 109902 (2024) - [j43]Yun Ai, Xianghua Xie, Xiaoke Ma:
Graph Contrastive Learning for Tracking Dynamic Communities in Temporal Networks. IEEE Trans. Emerg. Top. Comput. Intell. 8(5): 3422-3435 (2024) - [j42]Hassan Eshkiki, Benjamin Mora, Xianghua Xie:
Fully Connected Networks on a Diet With the Mediterranean Matrix Multiplication. IEEE Trans. Neural Networks Learn. Syst. 35(1): 634-647 (2024) - [c90]Suraj Ramchand, Xianghua Xie:
Augmenting Infrequent Relationships in Clinical Language Models with Graph-Encoded Hierarchical Ontologies. AIiH (1) 2024: 31-44 - [c89]Ali Guran, Gary K. L. Tam, James Chess, Xianghua Xie:
Multi-stage Chronic Kidney Disease Classification on Longitudinal Data. AIiH (1) 2024: 120-133 - [c88]Fergus Pick, Xianghua Xie, Lin Yuanbo Wu:
Contrastive Multitask Transformer for Hospital Mortality and Length-of-Stay Prediction. AIiH (1) 2024: 134-145 - [c87]Yiming Li, Hanchi Ren, Jingjing Deng, Xiaoke Ma, Xianghua Xie:
Centersam: Fully Automatic Prompt for Dense Nucleus Segmentation. ISBI 2024: 1-5 - [c86]Francis Xiatian Zhang, Shuang Chen, Xianghua Xie, Hubert P. H. Shum:
Depth-Aware Endoscopic Video Inpainting. MICCAI (6) 2024: 143-153 - [e3]Xianghua Xie, Iain B. Styles, Gibin G. Powathil, Marco Ceccarelli:
Artificial Intelligence in Healthcare - First International Conference, AIiH 2024, Swansea, UK, September 4-6, 2024, Proceedings, Part I. Lecture Notes in Computer Science 14975, Springer 2024, ISBN 978-3-031-67277-4 [contents] - [e2]Xianghua Xie, Iain B. Styles, Gibin G. Powathil, Marco Ceccarelli:
Artificial Intelligence in Healthcare - First International Conference, AIiH 2024, Swansea, UK, September 4-6, 2024, Proceedings, Part II. Lecture Notes in Computer Science 14976, Springer 2024, ISBN 978-3-031-67284-2 [contents] - [i23]Junhui Yin, Xinyu Zhang, Lin Wu, Xianghua Xie, Xiaojie Wang:
In-context Prompt Learning for Test-time Vision Recognition with Frozen Vision-language Model. CoRR abs/2403.06126 (2024) - [i22]Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie:
An Element-Wise Weights Aggregation Method for Federated Learning. CoRR abs/2404.15919 (2024) - [i21]Francis Xiatian Zhang, Shuang Chen, Xianghua Xie, Hubert P. H. Shum:
Depth-Aware Endoscopic Video Inpainting. CoRR abs/2407.02675 (2024) - [i20]Felix Richards, Adeline Paiement, Xianghua Xie, Elisabeth Sola, Pierre-Alain Duc:
Panoptic Segmentation of Galactic Structures in LSB Images. CoRR abs/2407.07494 (2024) - [i19]Felix Richards, Adeline Paiement, Xianghua Xie, Elisabeth Sola, Pierre-Alain Duc:
Multi-scale gridded Gabor attention for cirrus segmentation. CoRR abs/2407.08852 (2024) - [i18]Majedaldein Almahasneh, Xianghua Xie, Adeline Paiement:
AttentNet: Fully Convolutional 3D Attention for Lung Nodule Detection. CoRR abs/2407.14464 (2024) - [i17]Majedaldein Almahasneh, Adeline Paiement, Xianghua Xie, Jean Aboudarham:
MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Images. CoRR abs/2407.14473 (2024) - [i16]Chen Hu, Jingjing Deng, Xianghua Xie, Xiaoke Ma:
FissionVAE: Federated Non-IID Image Generation with Latent Space and Decoder Decomposition. CoRR abs/2408.17090 (2024) - [i15]Deyin Liu, Lin Yuanbo Wu, Xianghua Xie:
Blended Latent Diffusion under Attention Control for Real-World Video Editing. CoRR abs/2409.03514 (2024) - [i14]Nurhan Bulus Guran, Hanchi Ren, Jingjing Deng, Xianghua Xie:
Task-oriented Robotic Manipulation with Vision Language Models. CoRR abs/2410.15863 (2024) - [i13]Yiming Li, Hanchi Ren, Jingjing Deng, Xianghua Xie:
Triplane Grasping: Efficient 6-DoF Grasping with Single RGB Images. CoRR abs/2410.15879 (2024) - [i12]Chen Hu, Hanchi Ren, Jingjing Deng, Xianghua Xie:
Distributed Learning for UAV Swarms. CoRR abs/2410.15882 (2024) - 2023
- [j41]Chen Hu, Xianghua Xie, Lin Wu:
Face reenactment via generative landmark guidance. Image Vis. Comput. 130: 104611 (2023) - [j40]Lin Wu, Lingqiao Liu, Yang Wang, Zheng Zhang, Farid Boussaïd, Mohammed Bennamoun, Xianghua Xie:
Learning Resolution-Adaptive Representations for Cross-Resolution Person Re-Identification. IEEE Trans. Image Process. 32: 4800-4811 (2023) - [c85]Connor Clarkson, Michael Edwards, Xianghua Xie:
Active Anchors. EICS (Companion) 2023: 68-69 - [c84]Yi Hu, Hanchi Ren, Chen Hu, Jingjing Deng, Xianghua Xie:
An Element-Wise Weights Aggregation Method for Federated Learning. ICDM (Workshops) 2023: 188-196 - [c83]Bo Li, Lin Yuanbo Wu, Deyin Liu, Hongyang Chen, Yuanxin Ye, Xianghua Xie:
Image Template Matching via Dense and Consistent Contrastive Learning. ICME 2023: 1319-1324 - [c82]Sachin Bahade, Michael Edwards, Xianghua Xie:
Graph Proposal Neural Networks for Cell Detection Immunostained Hodgkin Lymphoma Histology Images. ISBI 2023: 1-5 - [c81]Felix Richards, Adeline Paiement, Xianghua Xie, Elisabeth Sola, Pierre-Alain Duc:
Panoptic Segmentation of Galactic Structures in LSB Images. MVA 2023: 1-6 - [i11]Alexander J. M. Milne, Xianghua Xie:
Predicting Surface Texture in Steel Manufacturing at Speed. CoRR abs/2301.08527 (2023) - [i10]Hanchi Ren, Jingjing Deng, Xianghua Xie, Xiaoke Ma, Jianfeng Ma:
Gradient Leakage Defense with Key-Lock Module for Federated Learning. CoRR abs/2305.04095 (2023) - [i9]Alexander J. M. Milne, Xianghua Xie:
Steel Surface Roughness Parameter Calculations Using Lasers and Machine Learning Models. CoRR abs/2307.03723 (2023) - [i8]Xianghua Xie, Chen Hu, Hanchi Ren, Jingjing Deng:
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective. CoRR abs/2311.16065 (2023) - 2022
- [j39]David George, Xianghua Xie, Yu-Kun Lai, Gary K. L. Tam:
A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections. Comput. Aided Des. 144: 103179 (2022) - [j38]Zengfa Dou, Xiaoke Ma, Xianghua Xie, Hui Liu, Chubing Guo:
A hybrid method of detecting flame from video stream. IET Image Process. 16(11): 2937-2946 (2022) - [j37]Majedaldein Almahasneh, Adeline Paiement, Xianghua Xie, Jean Aboudarham:
MLMT-CNN for object detection and segmentation in multi-layer and multi-spectral images. Mach. Vis. Appl. 33(1): 9 (2022) - [j36]Xiaoke Ma, Shiyin Tan, Xianghua Xie, Xiaoxiong Zhong, Jingjing Deng:
Joint multi-label learning and feature extraction for temporal link prediction. Pattern Recognit. 121: 108216 (2022) - [j35]Michael P. Kenning, Jingjing Deng, Michael Edwards, Xianghua Xie:
A directed graph convolutional neural network for edge-structured signals in link-fault detection. Pattern Recognit. Lett. 153: 100-106 (2022) - [j34]Majedaldein Almahasneh, Adeline Paiement, Xianghua Xie, Jean Aboudarham:
MSMT-CNN for Solar Active Region Detection with Multi-Spectral Analysis. SN Comput. Sci. 3(3): 197 (2022) - [j33]Hanchi Ren, Jingjing Deng, Xianghua Xie:
GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. ACM Trans. Intell. Syst. Technol. 13(4): 65:1-65:24 (2022) - [c80]Suraj Ramchand, Gavin Tsang, Duncan Cole, Xianghua Xie:
RetainEXT: Enhancing Rare Event Detection and Improving Interpretability of Health Records using Temporal Neural Networks. BHI 2022: 1-6 - [c79]Felix Richards, Xianghua Xie, Adeline Paiement, Elisabeth Sola, Pierre-Alain Duc:
Multi-Scale Gridded Gabor Attention for Cirrus Segmentation. ICIP 2022: 3733-3737 - [c78]Chen Hu, Xianghua Xie:
One-Shot Decoupled Face Reenactment with Vision Transformer. ICPRAI (2) 2022: 246-257 - 2021
- [j32]Stavros Georgousis, Michael P. Kenning, Xianghua Xie:
Graph Deep Learning: State of the Art and Challenges. IEEE Access 9: 22106-22140 (2021) - [j31]Ehab Essa, Xianghua Xie:
An Ensemble of Deep Learning-Based Multi-Model for ECG Heartbeats Arrhythmia Classification. IEEE Access 9: 103452-103464 (2021) - [j30]Yan Wang, Zuheng Xia, Jingjing Deng, Xianghua Xie, Maoguo Gong, Xiaoke Ma:
TLGP: a flexible transfer learning algorithm for gene prioritization based on heterogeneous source domain. BMC Bioinform. 22-S(9): 274 (2021) - [j29]Ali Alqahtani, Xianghua Xie, Mark W. Jones, Ehab Essa:
Pruning CNN filters via quantifying the importance of deep visual representations. Comput. Vis. Image Underst. 208-209: 103220 (2021) - [j28]Ali Alqahtani, Xianghua Xie, Mark W. Jones:
Literature Review of Deep Network Compression. Informatics 8(4): 77 (2021) - [j27]Jingjing Deng, Xianghua Xie:
3D Interactive Segmentation With Semi-Implicit Representation and Active Learning. IEEE Trans. Image Process. 30: 9402-9417 (2021) - [c77]Avishek Siris, Jianbo Jiao, Gary K. L. Tam, Xianghua Xie, Rynson W. H. Lau:
Scene Context-Aware Salient Object Detection. ICCV 2021: 4136-4146 - [c76]Michael P. Kenning, Jingjing Deng, Michael Edwards, Xianghua Xie:
Locating Datacenter Link Faults with a Directed Graph Convolutional Neural Network. ICPRAM 2021: 312-320 - [c75]Majedaldein Almahasneh, Adeline Paiement, Xianghua Xie, Jean Aboudarham:
Active Region Detection in Multi-spectral Solar Images. ICPRAM 2021: 452-459 - [c74]Sachin Bahade, Michael Edwards, Xianghua Xie:
Graph Convolution Networks for Cell Segmentation. ICPRAM 2021: 620-627 - [i7]Hanchi Ren, Jingjing Deng, Xianghua Xie:
GRNN: Generative Regression Neural Network - A Data Leakage Attack for Federated Learning. CoRR abs/2105.00529 (2021) - 2020
- [j26]Huaizhong Zhang, Ehab Essa, Xianghua Xie:
Automatic vessel lumen segmentation in optical coherence tomography (OCT) images. Appl. Soft Comput. 88: 106042 (2020) - [j25]Michael Edwards, Xianghua Xie, Robert Ieuan Palmer, Gary K. L. Tam, Rob Alcock, Carl Roobottom:
Graph convolutional neural network for multi-scale feature learning. Comput. Vis. Image Underst. 194: 102881 (2020) - [c73]Avishek Siris, Jianbo Jiao, Gary K. L. Tam, Xianghua Xie, Rynson W. H. Lau:
Inferring Attention Shift Ranks of Objects for Image Saliency. CVPR 2020: 12130-12140 - [c72]Ehab Essa, Xianghua Xie:
Multi-model Deep Learning Ensemble for ECG Heartbeat Arrhythmia Classification. EUSIPCO 2020: 1085-1089 - [c71]Ali Alqahtani, Xianghua Xie, Ehab Essa, Mark W. Jones:
Neuron-based Network Pruning Based on Majority Voting. ICPR 2020: 3090-3097 - [c70]Gavin Tsang, Xianghua Xie:
Deep Learning Based Sepsis Intervention: The Modelling and Prediction of Severe Sepsis Onset. ICPR 2020: 8671-8678 - [c69]Lee Au-Yeung, Xianghua Xie, James Chess, Timothy Scale:
Using Machine Learning to Refer Patients with Chronic Kidney Disease to Secondary Care. ICPR 2020: 10219-10226 - [i6]Hanchi Ren, Jingjing Deng, Xianghua Xie:
Privacy Preserving Text Recognition with Gradient-Boosting for Federated Learning. CoRR abs/2007.07296 (2020) - [i5]Felix Richards, Adeline Paiement, Xianghua Xie, Pierre-Alain Duc:
Learnable Gabor modulated complex-valued networks for orientation robustness. CoRR abs/2011.11734 (2020)
2010 – 2019
- 2019
- [j24]Mohammed Ali, Ali Alqahtani, Mark W. Jones, Xianghua Xie:
Clustering and Classification for Time Series Data in Visual Analytics: A Survey. IEEE Access 7: 181314-181338 (2019) - [j23]Taiwei Wang, David George, Yu-Kun Lai, Xianghua Xie, Gary K. L. Tam:
Consistent segment-wise matching with multi-layer graphs. Comput. Aided Geom. Des. 70: 31-45 (2019) - [j22]Mohammed Ali, Mark W. Jones, Xianghua Xie, Mark Williams:
TimeCluster: dimension reduction applied to temporal data for visual analytics. Vis. Comput. 35(6-8): 1013-1026 (2019) - [c68]Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark W. Jones:
Learning Discriminatory Deep Clustering Models. CAIP (1) 2019: 224-233 - [c67]Alex Momotov, Xianghua Xie:
Determining Lead-Lag Structure between Sentiment Index and Stock Price Returns. ICVISP 2019: 28:1-28:7 - [c66]Taiwei Wang, Kristiyan Vladimirov, Shu Yu Goh, Yu-Kun Lai, Xianghua Xie, Gary K. L. Tam:
Robust and Flexible Puzzle Solving with Corner-based Cycle Consistent Correspondences. CGVC 2019: 115-123 - 2018
- [j21]David George, Xianghua Xie, Gary K. L. Tam:
3D mesh segmentation via multi-branch 1D convolutional neural networks. Graph. Model. 96: 1-10 (2018) - [c65]Mohammed Ali, Mark W. Jones, Xianghua Xie, Mark Williams:
Towards Visual Exploration of Large Temporal Datasets. BDVA 2018: 1-9 - [c64]Michael P. Kenning, Xianghua Xie, Michael Edwards, Jingjing Deng:
Local Representation Learning with A Convolutional Autoencoder. ICIP 2018: 3239-3243 - [c63]Ali Alqahtani, Xianghua Xie, Jingjing Deng, Mark W. Jones:
A Deep Convolutional Auto-Encoder with Embedded Clustering. ICIP 2018: 4058-4062 - [c62]Gavin Tsang, Jingjing Deng, Xianghua Xie:
Recurrent Neural Networks for Financial Time-Series Modelling. ICPR 2018: 892-897 - [c61]Paul Stroe, Xianghua Xie, Adeline Paiement:
Manifold Modeling of the Beating Heart Motion. MIUA 2018: 229-238 - [i4]David George, Xianghua Xie, Yu-Kun Lai, Gary K. L. Tam:
A Deep Learning Driven Active Framework for Segmentation of Large 3D Shape Collections. CoRR abs/1807.06551 (2018) - 2017
- [j20]Igor Sazonov, Xianghua Xie, Perumal Nithiarasu:
An improved method of computing geometrical potential force (GPF) employed in the segmentation of 3D and 4D medical images. Comput. methods Biomech. Biomed. Eng. Imaging Vis. 5(4): 287-296 (2017) - [j19]Ehab Essa, Xianghua Xie:
Automatic segmentation of cross-sectional coronary arterial images. Comput. Vis. Image Underst. 165: 97-110 (2017) - [j18]Xianghua Xie, Mark W. Jones, Gary K. L. Tam:
Recognition, Tracking, and Optimisation. Int. J. Comput. Vis. 122(3): 409-410 (2017) - [c60]Dafydd Ravenscroft, Jingjing Deng, Xianghua Xie, Louise Terry, Tom H. Margrain, Rachel V. North, Ashley Wood:
AMD Classification in Choroidal OCT Using Hierarchical Texton Mining. ACIVS 2017: 237-248 - [c59]Dafydd Ravenscroft, Jingjing Deng, Xianghua Xie, Louise Terry, Tom H. Margrain, Rachel V. North, Ashley Wood:
Learning feature extractors for AMD classification in OCT using convolutional neural networks. EUSIPCO 2017: 51-55 - [c58]Jingjing Deng, Xianghua Xie:
Nested Shallow CNN-Cascade for Face Detection in the Wild. FG 2017: 165-172 - [c57]Jingjing Deng, Xianghua Xie:
Detect face in the wild using CNN cascade with feature aggregation at multi-resolution. ICIP 2017: 4167-4171 - [c56]Michael Edwards, Jingjing Deng, Xianghua Xie:
Labeling subtle conversational interactions within the CONVERSE dataset. PerCom Workshops 2017: 140-145 - [i3]David George, Xianghua Xie, Gary K. L. Tam:
3D Mesh Segmentation via Multi-branch 1D Convolutional Neural Networks. CoRR abs/1705.11050 (2017) - 2016
- [j17]Michael Edwards, Jingjing Deng, Xianghua Xie:
From pose to activity: Surveying datasets and introducing CONVERSE. Comput. Vis. Image Underst. 144: 73-105 (2016) - [j16]Ben Daubney, Xianghua Xie, Jingjing Deng, Neil Mac Parthaláin, Reyer Zwiggelaar:
Fixing the root node: Efficient tracking and detection of 3D human pose through local solutions. Image Vis. Comput. 52: 73-87 (2016) - [j15]Adeline Paiement, Majid Mirmehdi, Xianghua Xie, Mark C. K. Hamilton:
Registration and Modeling From Spaced and Misaligned Image Volumes. IEEE Trans. Image Process. 25(9): 4379-4393 (2016) - [c55]Robert Ieuan Palmer, Xianghua Xie:
Neural Network Boundary Detection for 3D Vessel Segmentation. ACIVS 2016: 25-36 - [c54]Jingjing Deng, Xianghua Xie, Michael Edwards:
Combining Stacked Denoising Autoencoders and Random Forests for Face Detection. ACIVS 2016: 349-360 - [c53]Michael Edwards, Xianghua Xie:
Graph Convolutional Neural Network. BMVC 2016 - [c52]Jonathan-Lee Jones, Xianghua Xie:
Interactive 3D Segmentation of Lymphatic Valves in Confocal Microscopic Images. ICIAR 2016: 198-205 - [c51]Ehab Essa, Xianghua Xie, Richard Turner, Matthew Stevens, Daniel Power:
Extracting Lineage Information from Hand-Drawn Ancient Maps. ICIAR 2016: 268-275 - [c50]Jingjing Deng, Xianghua Xie, Louise Terry, Ashley Wood, Nick S. White, Tom H. Margrain, Rachel V. North:
Age-Related Macular Degeneration Detection and Stage Classification Using Choroidal OCT Images. ICIAR 2016: 707-715 - [i2]Michael Edwards, Xianghua Xie:
Graph Based Convolutional Neural Network. CoRR abs/1609.08965 (2016) - 2015
- [j14]Huaizhong Zhang, Xianghua Xie:
Divergence of Gradient Convolution: Deformable Segmentation With Arbitrary Initializations. IEEE Trans. Image Process. 24(11): 3902-3914 (2015) - [c49]Robert Ieuan Palmer, Xianghua Xie, Gary K. L. Tam:
Automatic Aortic Root Segmentation with Shape Constraints and Mesh Regularisation. BMVC 2015: 83.1-83.11 - [c48]Jonathan-Lee Jones, Ehab Essa, Xianghua Xie:
Automatic segmentation of lymph vessel wall using optimal surface graph cut and hidden Markov Models. EMBC 2015: 2403-2406 - [c47]Robert Ieuan Palmer, Xianghua Xie, Gary K. L. Tam:
Finding complete 3D vertex correspondence for statistical shape modeling. EMBC 2015: 2912-2915 - [c46]Ehab Essa, Xianghua Xie, Rachel J. Errington, Nick S. White:
A multi-stage random forest classifier for phase contrast cell segmentation. EMBC 2015: 3865-3868 - [c45]Ehab Essa, Xianghua Xie, Jonathan-Lee Jones:
Graph Based Lymphatic Vessel Wall Localisation and Tracking. GbRPR 2015: 345-354 - [c44]Ehab Essa, Xianghua Xie, Jonathan-Lee Jones:
Minimum S-Excess Graph for Segmenting and Tracking Multiple Borders with HMM. MICCAI (2) 2015: 28-35 - [c43]Robert Ieuan Palmer, Gary K. L. Tam, Xianghua Xie, Rob Alcock, Carl Roobottom:
Computing 3D Mesh Correspondence for Aortic Root Shape Modelling. MIUA 2015: 92-97 - [e1]Xianghua Xie, Mark W. Jones, Gary K. L. Tam:
Proceedings of the British Machine Vision Conference 2015, BMVC 2015, Swansea, UK, September 7-10, 2015. BMVA Press 2015, ISBN 1-901725-53-7 [contents] - [i1]Michael Edwards, Jingjing Deng, Xianghua Xie:
From Pose to Activity: Surveying Datasets and Introducing CONVERSE. CoRR abs/1511.05788 (2015) - 2014
- [j13]Jingjing Deng, Xianghua Xie, Ben Daubney:
A bag of words approach to subject specific 3D human pose interaction classification with random decision forests. Graph. Model. 76(3): 162-171 (2014) - [j12]Adeline Paiement, Majid Mirmehdi, Xianghua Xie, Mark C. K. Hamilton:
Integrated Segmentation and Interpolation of Sparse Data. IEEE Trans. Image Process. 23(1): 110-125 (2014) - [c42]Michael Edwards, Xianghua Xie:
Footstep pressure signal analysis for human identification. BMEI 2014: 307-312 - [c41]Arron Lacey, Jingjing Deng, Xianghua Xie:
Protein classification using Hidden Markov models and randomised decision trees. BMEI 2014: 659-664 - [c40]David James, Xianghua Xie, Parisa Eslambolchilar:
A discriminative approach to automatic seizure detection in multichannel EEG signals. EUSIPCO 2014: 2010-2014 - [c39]Jingjing Deng, Xianghua Xie, Shang-Ming Zhou:
Conversational Interaction Recognition Based on Bodily and Facial Movement. ICIAR (1) 2014: 237-245 - [c38]Jingjing Deng, Xianghua Xie, Rob Alcock, Carl Roobottom:
3D interactive coronary artery segmentation using random forests and Markov random field optimization. ICIP 2014: 942-946 - [c37]Huaizhong Zhang, Xianghua Xie:
An adaptive denoising method used in MRI. ISBI 2014: 501-504 - 2013
- [j11]Ronghua Yang, Majid Mirmehdi, Xianghua Xie, David Hall:
Shape and appearance priors for level set-based left ventricle segmentation. IET Comput. Vis. 7(3): 170-183 (2013) - [c36]Jingjing Deng, Xianghua Xie, Ben Daubney, Hui Fang, Phil W. Grant:
Recognizing Conversational Interaction Based on 3D Human Pose. ACIVS 2013: 138-149 - [c35]Jonathan-Lee Jones, Ehab Essa, Xianghua Xie, Dave Smith:
Interactive Segmentation of Media-Adventitia Border in IVUS. CAIP (2) 2013: 466-474 - [c34]Hui Fang, Jingjing Deng, Xianghua Xie, Philip W. Grant:
From clamped local shape models to global shape model. ICIP 2013: 3513-3517 - [c33]Huaizhong Zhang, Ehab Essa, Xianghua Xie:
Graph based segmentation with minimal user interaction. ICIP 2013: 4074-4078 - 2012
- [j10]Rita Borgo, Min Chen, Ben Daubney, Edward Grundy, Gunther Heidemann, Benjamin Höferlin, Markus Höferlin, Heike Leitte, Daniel Weiskopf, Xianghua Xie:
State of the Art Report on Video-Based Graphics and Video Visualization. Comput. Graph. Forum 31(8): 2450-2477 (2012) - [j9]John Chiverton, Xianghua Xie, Majid Mirmehdi:
Automatic Bootstrapping and Tracking of Object Contours. IEEE Trans. Image Process. 21(3): 1231-1245 (2012) - [c32]Zhiqiang Hou, Sion L. Hannuna, Xianghua Xie, Majid Mirmehdi:
Line Histogram - A Fast Method for Rotated Rectangular Area Histogramming. ICPRAM (2) 2012: 126-134 - [c31]Si Yong Yeo, Xianghua Xie, Igor Sazonov, Perumal Nithiarasu:
Segmentation of Vessel Geometries from Medical Images using GPF Deformable Model. ICPRAM (1) 2012: 323-332 - [c30]Igor Sazonov, Xianghua Xie, Perumal Nithiarasu:
Efficient Geometrical Potential Force Computation for Deformable Model Segmentation. MCV 2012: 104-113 - [c29]Ehab Essa, Xianghua Xie, Igor Sazonov, Perumal Nithiarasu, Dave Smith:
Shape Prior Model for Media-Adventitia Border Segmentation in IVUS Using Graph Cut. MCV 2012: 114-123 - 2011
- [j8]Xianghua Xie, Majid Mirmehdi:
Radial basis function based level set interpolation and evolution for deformable modelling. Image Vis. Comput. 29(2-3): 167-177 (2011) - [j7]Si Yong Yeo, Xianghua Xie, Igor Sazonov, Perumal Nithiarasu:
Geometrically Induced Force Interaction for Three-Dimensional Deformable Models. IEEE Trans. Image Process. 20(5): 1373-1387 (2011) - [c28]Ben Daubney, Xianghua Xie:
Entropy Driven Hierarchical Search for 3D Human Pose Estimation. BMVC 2011: 1-11 - [c27]Ben Daubney, Xianghua Xie:
Tracking 3D human pose with large root node uncertainty. CVPR 2011: 1321-1328 - [c26]Rita Borgo, Min Chen, Ben Daubney, Edward Grundy, Gunther Heidemann, Benjamin Höferlin, Markus Höferlin, Heike Jänicke, Daniel Weiskopf, Xianghua Xie:
A Survey on Video-based Graphics and Video Visualization. Eurographics (State of the Art Reports) 2011: 1-23 - [c25]Ehab Essa, Xianghua Xie, Igor Sazonov, Perumal Nithiarasu:
Automatic IVUS media-adventitia border extraction using double interface graph cut segmentation. ICIP 2011: 69-72 - [c24]Si Yong Yeo, Xianghua Xie, Igor Sazonov, Perumal Nithiarasu:
Level set segmentation with robust image gradient energy and statistical shape prior. ICIP 2011: 3397-3400 - [c23]Ehab Essa, Xianghua Xie, Igor Sazonov, Perumal Nithiarasu, Dave Smith:
Automatic Segmentation of IVUS Media-Adventitia Border with Shape Prior. MIUA 2011: 325-330 - 2010
- [j6]Xianghua Xie:
Active Contouring Based on Gradient Vector Interaction and Constrained Level Set Diffusion. IEEE Trans. Image Process. 19(1): 154-164 (2010) - [c22]Ben Daubney, Xianghua Xie:
Estimating 3D Pose via Stochastic Search and Expectation Maximization. AMDO 2010: 67-77 - [c21]V. Javier Traver, Majid Mirmehdi, Xianghua Xie, Raúl Montoliu:
Fast Dynamic Texture Detection. ECCV (4) 2010: 680-693 - [c20]Xianghua Xie, Majid Mirmehdi:
Initialisation-Free Active Contour Segmentation. ICPR 2010: 2318-2321 - [c19]Xianghua Xie:
Level Set Based Segmentation Using Local Feature Distribution. ICPR 2010: 2780-2783 - [c18]Ben Daubney, Xianghua Xie:
Estimating 3D Human Pose from Single Images Using Iterative Refinement of the Prior. ICPR 2010: 3440-3443
2000 – 2009
- 2009
- [c17]John Chiverton, Majid Mirmehdi, Xianghua Xie:
On-line Learning of Shape Information for Object Segmentation and Tracking. BMVC 2009: 1-11 - [c16]Si Yong Yeo, Xianghua Xie, Igor Sazonov, Perumal Nithiarasu:
Geometric Potential Force for the Deformable Model. BMVC 2009: 1-11 - [c15]Yonghuai Liu, Longzhuang Li, Xianghua Xie, Baogang Wei:
Range image registration using hierarchical segmentation and clustering. CIRA 2009: 328-333 - [c14]Filiberto Pla, Gema Gracia, Pedro García-Sevilla, Majid Mirmehdi, Xianghua Xie:
Multi-spectral Texture Characterisation for Remote Sensing Image Segmentation. IbPRIA 2009: 257-264 - [c13]Xianghua Xie:
Textured Image Segmentation based on Local Spectral Histogram and Active Contour. VISAPP (1) 2009: 217-225 - [c12]Xianghua Xie:
Textured Image Segmentation Using Active Contours. VISIGRAPP (Selected Papers) 2009: 357-369 - [c11]Sion L. Hannuna, Xianghua Xie, Majid Mirmehdi, Neill W. Campbell:
Generic Motion based Object Segmentation for Assisted Navigation. VISAPP (2) 2009: 450-457 - 2008
- [j5]Xianghua Xie, Majid Mirmehdi:
MAC: Magnetostatic Active Contour Model. IEEE Trans. Pattern Anal. Mach. Intell. 30(4): 632-646 (2008) - [j4]Xianghua Xie, Majid Mirmehdi:
Correction to "MAC: Magnetostatic Active Contour Model". IEEE Trans. Pattern Anal. Mach. Intell. 30(5) (2008) - [c10]John Chiverton, Xianghua Xie, Majid Mirmehdi:
Tracking with Active Contours Using Dynamically Updated Shape Information. BMVC 2008: 1-10 - [c9]John Chiverton, Majid Mirmehdi, Xianghua Xie:
Variational Maximum A Posteriori model similarity and dissimilarity matching. ICPR 2008: 1-4 - 2007
- [j3]Xianghua Xie, Majid Mirmehdi:
TEXEMS: Texture Exemplars for Defect Detection on Random Textured Surfaces. IEEE Trans. Pattern Anal. Mach. Intell. 29(8): 1454-1464 (2007) - [c8]Xianghua Xie, Majid Mirmehdi:
Implicit Active Model using Radial Basis Function Interpolated Level Sets. BMVC 2007: 1-10 - 2006
- [j2]Xianghua Xie, Majid Mirmehdi, Barry T. Thomas:
Colour tonality inspection using eigenspace features. Mach. Vis. Appl. 16(6): 364-373 (2006) - [c7]Ronghua Yang, Majid Mirmehdi, Xianghua Xie:
A Charged Active Contour Based on Electrostatics. ACIVS 2006: 173-184 - [c6]Xianghua Xie, Majid Mirmehdi:
Magnetostatic Field for the Active Contour Model: A Study in Convergence. BMVC 2006: 127-136 - 2005
- [c5]Xianghua Xie, Majid Mirmehdi:
Texture Exemplars for Defect Detection on Random Textures. ICAPR (2) 2005: 404-413 - [c4]Xianghua Xie, Majid Mirmehdi:
Localising surface defects in random colour textures using multiscale texem analysis in image eigenchannels. ICIP (3) 2005: 1124-1127 - 2004
- [j1]Xianghua Xie, Majid Mirmehdi:
RAGS: region-aided geometric snake. IEEE Trans. Image Process. 13(5): 640-652 (2004) - [c3]Xianghua Xie, Majid Mirmehdi, Barry T. Thomas:
Inspecting Colour Tonality on Textured Surfaces. ICIAR (2) 2004: 810-817 - 2003
- [c2]Xianghua Xie, Majid Mirmehdi:
Geodesic Colour Active Contour Resistent to Weak Edges and Noise. BMVC 2003: 1-10 - [c1]Xianghua Xie, Majid Mirmehdi:
Level-set based geometric colour snake with region support. ICIP (2) 2003: 153-160
Coauthor Index
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